DOI 10.1038/s43856-026-01438-4
Hormonal contraceptives and EEG biomarkers for antidepressant treatment response in women.
Аннотация
BACKGROUND
Women are disproportionately affected by major depressive disorder (MDD). Widely used hormonal contraceptives are linked to depression and altered brain function, yet their unstudied impact on EEG-biomarkers of antidepressant response may confound efforts to develop biomarkers for women.
METHODS
In 60 unmedicated premenopausal women with MDD: non-users (n = 25), combined oral contraceptive users (COC, n = 19), and progestin-only contraceptive users (POC, n = 16), we assess five EEG-biomarkers before eight weeks of 10-20 mg escitalopram: Alpha peak frequency (APF), Vigilance level, Loudness-Dependence of Auditory Evoked Potentials (LDAEP), frontal alpha asymmetry (FAA), and theta activity at the anterior cingulate cortex (tACC). Analyses include age-adjusted ANCOVAs, hierarchical logistic regression, and repeated LASSO-regressions to evaluate the effects of hormonal contraceptives on EEG-biomarkers and treatment response.
RESULTS
No differences between contraceptive groups are found in EEG-biomarkers (ω²<0.03, p > 0.15). Adding contraceptive groups improves EEG-based predictions for all biomarkers (p < 0.044). While hierarchical regressions show no significant EEG-biomarker contraceptive-group interactions, LASSO-regressions select contraceptive status in interaction with APF and tACC in models that best predict treatment outcome. Disregarding EEG, hormonal contraceptive use is associated with treatment response (p = 0.01). COC-users exhibit lower response rates than non-users (24% vs 71%, OR = 0.14 [0.03, 0.65], p = 0.012). POC-users have a 44% response rate (p = 0.140).
CONCLUSIONS
Although hormonal contraceptive use is not associated with EEG-biomarkers in unmedicated depressed women, they may modulate links between specific EEG-biomarkers and antidepressant response. However, contraceptive use, specifically COC, is associated with worse treatment outcomes and may be critical to developing biomarkers, including EEG-based, to guide treatment in women with MDD.
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